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 Duration 40 hours

Course Outline

1. Conceptualizing the Product

  • Uncovering customer needs
  • Analyzing the market landscape and competitor strategies
  • Estimating the market size corresponding to specific customer problems or needs
  • Segmenting users and defining detailed personas
  • Establishing product vision, purpose, and strategic direction
  • Prioritizing initiatives based on value and effort
  • Mapping value and identifying desired outcomes

2. Building the Product

  • Applying user-centered design principles (UX/UI)
  • Implementing incremental and iterative development using cross-functional teams (Scrum)
  • Managing the backlog and crafting user stories
  • Validating concepts early through MVPs and experiments
  • Defining key product metrics
  • Conducting a practical Design Thinking workshop
  • Mastering prompt engineering for leaders (applying AI to product strategies)
  • Embracing data-driven design approaches
  • Creating a service design blueprint (service mapping)
  • Refining backlog management and prioritization (guided by an expert)

3. Launching the Product for the Customer

  • Overseeing release cycles and roadmap management
  • Developing go-to-market strategies
  • Facilitating onboarding and evaluating the post-launch customer experience
  • Capturing feedback from production environments
  • Aligning efforts with marketing and sales teams
  • Constructing the product funnel and setting up monitoring dashboards

4. Realizing Value

  • Analyzing product metrics (NPS, DAU, retention, etc.)
  • Structuring monetization and pricing models
  • Conducting funnel analysis
  • Evaluating customer value (LTV, CAC, ROI)
  • Iterating based on data insights
  • Managing the product lifecycle
  • Ensuring product scalability and sustainability
  • Reviewing the Product P&L
  • Formulating the business case

Summary and Next Steps

Requirements

  • A solid grasp of core banking operations
  • Practical experience in digital product development
  • Basic knowledge of Artificial Intelligence principles

Target Audience

  • Product managers operating within the banking industry
  • Leaders driving digital transformation initiatives
  • Banking professionals engaged in the design of AI-powered products

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